abacusai.api_class.enums
Module Contents
Classes
Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
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Generic enumeration. |
- class abacusai.api_class.enums.ApiEnum
Bases:
enum.Enum
Generic enumeration.
Derive from this class to define new enumerations.
- __eq__(other)
Return self==value.
- __hash__()
Return hash(self).
- class abacusai.api_class.enums.ProblemType
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- USER_ITEM_SCORING = 'affinity'
- ANOMALY_DETECTION = 'anomaly_new'
- ANOMALY_OUTLIERS = 'anomaly'
- CLUSTERING = 'clustering'
- CLUSTERING_TIMESERIES = 'clustering_timeseries'
- CUMULATIVE_FORECASTING = 'cumulative_forecasting'
- NAMED_ENTITY_EXTRACTION = 'nlp_ner'
- NATURAL_LANGUAGE_SEARCH = 'nlp_search'
- SENTENCE_BOUNDARY_DETECTION = 'nlp_sentence_boundary_detection'
- SENTIMENT_DETECTION = 'nlp_sentiment'
- DOCUMENT_CLASSIFICATION = 'nlp_classification'
- DOCUMENT_SUMMARIZATION = 'nlp_summarization'
- DOCUMENT_VISUALIZATION = 'nlp_document_visualization'
- PERSONALIZATION = 'personalization'
- PREDICTIVE_MODELING = 'regression'
- FORECASTING = 'forecasting'
- CUSTOM_TRAINED_MODEL = 'plug_and_play'
- FEATURE_STORE = 'feature_store'
- IMAGE_CLASSIFICATION = 'vision_classification'
- OBJECT_DETECTION = 'vision_object_detection'
- IMAGE_VALUE_PREDICTION = 'vision_regression'
- MODEL_MONITORING = 'model_monitoring'
- LANGUAGE_DETECTION = 'language_detection'
- OPTIMIZATION = 'optimization'
- PRETRAINED_MODELS = 'pretrained'
- THEME_ANALYSIS = 'theme_analysis'
- class abacusai.api_class.enums.SamplingMethodType
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- N_SAMPLING = 'N_SAMPLING'
- PERCENT_SAMPLING = 'PERCENT_SAMPLING'
- class abacusai.api_class.enums.FillLogic
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- AVERAGE = 'average'
- MAX = 'max'
- MEDIAN = 'median'
- MIN = 'min'
- CUSTOM = 'custom'
- BACKFILL = 'bfill'
- FORWARDFILL = 'ffill'
- LINEAR = 'linear'
- NEAREST = 'nearest'
- class abacusai.api_class.enums.BatchSize
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- BATCH_8 = 8
- BATCH_16 = 16
- BATCH_32 = 32
- BATCH_64 = 64
- BATCH_128 = 128
- BATCH_256 = 256
- BATCH_384 = 384
- BATCH_512 = 512
- BATCH_740 = 740
- BATCH_1024 = 1024
- class abacusai.api_class.enums.HolidayCalendars
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- AU = 'AU'
- UK = 'UK'
- US = 'US'
- class abacusai.api_class.enums.ForecastingObjective
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- ACCURACY = 'w_c_accuracy'
- WAPE = 'wape'
- MAPE = 'mape'
- CMAPE = 'cmape'
- RMSE = 'rmse'
- CV = 'coefficient_of_variation'
- BIAS = 'bias'
- SRMSE = 'srmse'
- class abacusai.api_class.enums.ForecastingFrequency
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- HOURLY = '1H'
- DAILY = '1D'
- WEEKLY_SUNDAY_START = '1W'
- WEEKLY_MONDAY_START = 'W-MON'
- WEEKLY_SATURDAY_START = 'W-SAT'
- MONTH_START = 'MS'
- MONTH_END = '1M'
- QUARTER_START = 'QS'
- QUARTER_END = '1Q'
- YEARLY = '1Y'
- class abacusai.api_class.enums.ForecastingDataSplitType
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- AUTO = 'Automatic Time Based'
- TIMESTAMP = 'Timestamp Based'
- ITEM = 'Item Based'
- PREDICTION_LENGTH = 'Force Prediction Length'
- class abacusai.api_class.enums.ForecastingLossFunction
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- CUSTOM = 'Custom'
- MEAN_ABSOLUTE_ERROR = 'mae'
- NORMALIZED_MEAN_ABSOLUTE_ERROR = 'nmae'
- PEAKS_MEAN_ABSOLUTE_ERROR = 'peaks_mae'
- MEAN_ABSOLUTE_PERCENTAGE_ERROR = 'stable_mape'
- POINTWISE_ACCURACY = 'accuracy'
- ROOT_MEAN_SQUARE_ERROR = 'rmse'
- NORMALIZED_ROOT_MEAN_SQUARE_ERROR = 'nrmse'
- ASYMMETRIC_MEAN_ABSOLUTE_PERCENTAGE_ERROR = 'asymmetric_mape'
- STABLE_STANDARDIZED_MEAN_ABSOLUTE_PERCENTAGE_ERROR = 'stable_standardized_mape_with_cmape'
- GAUSSIAN = 'mle_gaussian_local'
- GAUSSIAN_FULL_COVARIANCE = 'mle_gaussfullcov'
- GUASSIAN_EXPONENTIAL = 'mle_gaussexp'
- MIX_GAUSSIANS = 'mle_gaussmix'
- WEIBULL = 'mle_weibull'
- NEGATIVE_BINOMIAL = 'mle_negbinom'
- LOG_ROOT_MEAN_SQUARE_ERROR = 'log_rmse'
- class abacusai.api_class.enums.ForecastingLocalScaling
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- ZSCORE = 'zscore'
- SLIDING_ZSCORE = 'sliding_zscore'
- LAST_POINT = 'lastpoint'
- MIN_MAX = 'minmax'
- MIN_STD = 'minstd'
- ROBUST = 'robust'
- ITEM = 'item'
- class abacusai.api_class.enums.ForecastingFillMethod
Bases:
ApiEnum
Generic enumeration.
Derive from this class to define new enumerations.
- BACK = 'BACK'
- MIDDLE = 'MIDDLE'
- FUTURE = 'FUTURE'